Al que le dicen K

Building Software, Founding Team at @rappicolombia (YC W16). Director del club de haters de la guanabana.

[Al que le dicen K @elmodulok3000]

La gente bien informada puede tomar mejores decisiones.

[Lorena @Zyberia]

Tenés la plata suficiente para mandar mucha ayuda, pero no, querés monetizar tragedia ajena y a parte hacerte el bueno. Come mierda.

[Marianne Díaz Hernández @mariannedh]

Me puedo quejar de todo lo que no está funcionando, pero en lugar de eso voy a elegir asombrarme y admirar la capacidad de los venezolanos de activarse para ayudar y de dar todo lo que tienen en un momento de crisis. Estoy muy orgullosa de ser venezolana.

[Luis Carlos 🏴‍☠️ One Piece @LuisCarlos]

Dar un kilo de arroz en New York o papel sanitario en Madrid no tiene sentido si no se toma en cuenta su costo de traslado y reparto.
Se puede ayudar con dinero a personas confiables en terreno, con familiares o con organizaciones serias para generar impacto directo y real.

[Polita Ricciulli @RicciuP]

Ojalá en la megacárcel den ajiaco.

[Vestigios de Cristian @cris7ian]

Todo el mundo que si "¿¿¿qué les hizo???"

Bro, claramente les entró a coñazos a ellos y a la mamá. That's it. Estas vainas no son rocket science. ¿Qué más va a ser?

[maria @mariamagariz]

no tengo miedo de peinar a cinco niños rubios mientras se lavan los dientes pero necesito el total colapso del mercado inmobiliario, Santo Padre

[Karri Saarinen @karrisaarinen]

I get that business insurance is similar Nobel level type of pursuit as ground breaking physics and the Manhattan project. Hopefully the blast radius will be contained.

I don’t think the disagreement is whether hard problems require intensity.

The disagreement is whether intensity has to become a permanent operating model, and whether working seven days a week is the thing that compounds.

My argument is that for most startups, the real compounding advantage is not raw hours. It is clearer thinking, better judgment, learning, and a team that can sustain high-quality work for a long time. You can always spend a lot of time working, but the PMF might never arrive.

There are moments where extraordinary effort is necessary. Launches, incidents, existential deadlines, customer commitments. Those moments matter, and great teams rise to them.

But if the company requires heroics every day of the eek, that usually points to a system problem. It means the operating model depends on burning reserve capacity instead of building it. Company that is constantly on fire is company that is not operating well.

Whenever you put something out there, people will argue and people can argue the way I run Linear. The reason I comment on these things to offer some counter point.

There is a growing cliché in startup culture where founders and startups feel the need to perform intensity publicly. How hard they work, how little they sleep, how many tokens they spend, how busy they are, how much personal sacrifice they make.

You almost never see this from the most successful companies or people. Even if they work that way, they usually don’t make it the story, because they have more important things to talk about, like the product, the customers, the insight, the strategy, the quality of the work.

That’s my issue with the narrative and why I think startups shouldn't blindly follow it. Not that is bad to work hard but grindmaxxing narrative can become the greater goal and become counterproductive. The performative intensity becomes the thing, and loosing sight of what actually matters.

Lets check back in 7 years.

[Devanshu @DevanshuXi]

I’ve interviewed with a lot of companies lately whose founders spend half their time on Twitter saying things like “software engineering is dead”, “just use LLMs”, “AGI will replace coding”, etc.

But the second the actual interview starts:

“No AI tools allowed.”
Then suddenly it’s: hard DSA, graph theory, geometry algorithms, distributed systems, low-level internals, system design, tradeoff discussions, concurrency, runtime complexity, memory optimization,
and 4 rounds of “explain why your architecture decision is better.”
I still remember there is this company that asked me to implement "N-Queens ii" under 10 minutes.
Kinda funny honestly.
If software engineering was truly “solved” by prompting an LLM, these companies wouldn’t be filtering candidates using some of the hardest CS fundamentals possible.
Social media narrative and actual hiring reality are looking like two completely different worlds right now.
A lot of the “engineers are finished” discourse honestly feels more like fundraising narrative, hype cycles, or market positioning than what companies internally believe.
Because internally?
Everyone still knows good engineers and problem solving skills are insanely valuable.

[Al que le dicen K @elmodulok3000]

Hi @SlackHQ 👋🏽, idk if you're aware but your android app is crashing on the dms tab section ☺️!!

[Señorita Efe 💜 @Pekaba_8]

Porque Shakira sabe perfectamente que los que más consumen fútbol son varones, entonces les hace canciones como para que las entiendan. 💅🏾👩🏾

[Juancho Arciniega @4juancho8]

La adultez es aguantar veinte problemas serios en silencio y luego colapsar porque se cayó una cuchara.

[Mariano Amartino @amartino]

Se terminó la fiesta de la IA "All You Can Eat"... desde 2022 vivimos en la ficción del subsidio de adopción: OpenAI, Anthropic, Gemini quemando caja para que te enamores del producto.

Como decian en Battlestar Galactica: “All of this has happened before, and it will all happen again.”

Porque "la tarifa plana nunca es plana" y los subsidios se terminan cuando hay un ganador o cuando la matemática no da... y aca creo que el "Agentic Workflow" mató el calculo.

El modelo de suscripción plana se basaba en la curva de un chat: pregunta -> respuesta. Un humano chateando no quiebra a nadie, pero un Agente (como Claude Code) corren loops, encadenan herramientas y ejecutan procesos sin preguntar u optimizar :)

Un solo usuario "power" haciendo tokenmaxxing puede quemar en un ciclo lo que pagan 200 usuarios casuales. Literalmente, un subsidio de 25 a 1. Los números no cierran para ninguna IPO.

En los ultimos 30 dias cambio la facturacion de todos los grandes (Anthropic pasa a modo consumo, OpenAI a transparencia tipo Azure/AWS/GCP, Github con el "overage") y se acabo la fiesta...

Encima te suben el precio con un uptime mediocre (98.95% en Claude). ¿Se puede construir un negocio serio con 94 veces más downtime que AWS? y esto lo vi en un chat con @DamianCatanzaro de @paywithamplify

Si yo hoy fuese emprendedor me preguntaria: ¿puedo construir un negocio sin que los grandes subsidien el costo de los tokens? y encima ¿puedo construir un negocio sin saber siquiera el SLA de los proveedores de IA?

Todo esto lo escribi con ejemplos y mas desarrollado en mi blog (@dfgonzalez lo vio antes que tenga tiempo de poner el tweet este :P)

https://t.co/NDkJCMIPCX

#AI #GenerativeAI #StartupEconomics #Tokenomics #CloudComputing

[Al que le dicen K @elmodulok3000]

HAHAHAAHAHAHAHAHAHAHA pero que necesidad!!

[BlackMaps 🗺️ @maps_black]

Quién ELIMINÓ a VENEZUELA 🇻🇪 en el mundial de fútbol

2026 - No clasificó
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[carlos bau @GrandierRev]

@poponze Finalmente veremos o live-action desse meme

[Jen Zhu @jenzhuscott]

When I was consulting for @HBO Silicon Valley, zero-loss compression was the holy grail Richard Hendricks chases that perfect middle-out algo could shrink everything w/out breaking a single bit.

Google just did something even more practical for the AI era: TurboQuant compresses LLM key-value caches down to 3 bits per value using random orthogonal rotation + PolarQuant scalar quantization & optional 1-bit QJL residual correction.

=>> 6× memory reduction, up to 8× faster attention (on H100), & 0 degradation on LongBench, Needle-in-a-Haystack, and RULER for models like Gemma. No retraining, no calibration needed.

Fiction just got out-engineered by reality. 😅💚💚

[Gergely Orosz @GergelyOrosz]

The past year has seen an explosion in coding *output*

Productivity would mean that more value is being created in one way or another. Easiest to measure e.g. in revenue that code/website/app generates

My suspicion is that eg most of those new apps don't generate anything

[Kareem Carr, Ph.D. @kareem_carr]

There's a toxic culture coming out of the AI industry that keeps trying to get us not to think.

The message is everywhere. Don’t read the code, just vibe-code. Don’t try to understand all the text, just let AI summarize it. Don’t bother educating yourself, it’s too late.

Don’t worry about the errors. Trust that everything will be fixed in the next version.

The theme is the same. Don’t think too hard. Just keep swallowing the slop.

[Gergely Orosz @GergelyOrosz]

Anthropic scrapes copyrighted materials online; creates a model that they charge $$ for; doesn’t compensate for use - apparently this is fair?

Now Anthropic complains about other companies paying for model access, to create free models anyone can use - and this is not fair??

[Trung Phan @TrungTPhan]

Amazon’s AI coding assistant may have just pulled off the Son of Anton gag from Silicon Valley: “it’s possible that…the most efficient way to get rid of all the bugs, was to get rid of all the software.”

Taking AWS down for hours (on multiple occasions). Unreal.

[Rayquasa @rayquasa111]

Bad Bunny puede quedarse quieto sin cantar ni moverse, pero Michael Jackson jamás podría haber cantado "mi bicho anda fugao y yo quiero que tu me lo escondas, agárralo como bonga" 🔥🐐